Triple
T32752407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Hawamim |
E837531
|
entity |
| Predicate | firstChapterNumber |
—
|
GENERATED |
| Object | 40 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChapterNumber Context triple: [Al-Hawamim, firstChapterNumber, 40]
-
A.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
B.
beginsAtChapter
Indicates that an entity (such as a section, event, or reference) starts or first occurs at a specified chapter in a structured work.
-
C.
firstAppearanceChapter
chosen
Indicates the chapter in which an entity (such as a character, item, or concept) is first introduced or appears in a work.
-
D.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
E.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:12 a.m.